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Alibaba-backed Moonshot releases Kimi K2 AI rivaling ChatGPT, Claude

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An AI sign at the MWC Shanghai tech show on June 19, 2025.

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BEIJING — The latest Chinese generative artificial intelligence model to take on OpenAI’s ChatGPT is offering coding capabilities — at a lower price.

Alibaba-backed startup Moonshot released on late Friday night its Kimi K2 model: a low-cost, open source large language model — the two factors that underpinned China-based DeepSeek’s industry disruption in January. Open-source technology provides source code access for free, an approach that few U.S. tech giants have taken, other than Meta and Google to some extent.

Coincidentally, OpenAI CEO Sam Altman announced early Saturday that there would be an indefinite delay of its first open-source model yet again due to safety concerns. OpenAI did not immediately respond to a CNBC request for comment on Kimi K2.

Rethinking the AI coding payoff

One of Kimi K2’s strengths is in writing computer code for applications, an area in which businesses see potential to reduce or replace staff with generative AI. OpenAI’s U.S. rival Anthropic focused on coding with its Claude Opus 4 model released in late May.

In its release announcement on social media platforms X and GitHub, Moonshot claimed Kimi K2 surpassed Claude Opus 4 on two benchmarks, and had better overall performance than OpenAI’s coding-focused GPT-4.1 model, based on several industry metrics.

“No doubt [Kimi K2 is] a globally competitive model, and it’s open sourced,” Wei Sun, principal analyst in artificial intelligence at Counterpoint, said in an email Monday.

Cheaper option

“On top of that, it has lower token costs, making it attractive for large-scale or budget-sensitive deployments,” she said.

The new K2 model is available via Kimi’s app and browser interface for free unlike ChatGPT or Claude, which charge monthly subscriptions for their latest AI models.

Kimi is also only charging 15 cents for every 1 million input tokens, and $2.50 per 1 million output tokens, according to its website. Tokens are a way of measuring data for AI model processing.

In contrast, Claude Opus 4 charges 100 times more for input — $15 per million tokens — and 30 times more for output — $75 per million tokens. Meanwhile, for every one million tokens, GPT-4.1 charges $2 for input and $8 for output.

Moonshot AI said on GitHub that developers can use K2 however they wish, with the only requirement that they display “Kimi K2” on the user interface if the commercial product or service has more than 100 million monthly active users, or makes the equivalent of $20 million in monthly revenue.

Hot AI market

Initial reviews of K2 on both English and Chinese social media have largely been positive, although there are some reports of hallucinations, a prevalent issue in generative AI, in which the models make up information.

Still, K2 is “the first model I feel comfortable using in production since Claude 3.5 Sonnet,” Pietro Schirano, founder of startup MagicPath that offers AI tools for design, said in a post on X.

Moonshot has open sourced some of its prior AI models. The company’s chatbot surged in popularity early last year as China’s alternative to ChatGPT, which isn’t officially available in the country. But similar chatbots from ByteDance and Tencent have since crowded the market, while tech giant Baidu has revamped its core search engine with AI tools.

Kimi’s latest AI release comes as investors eye Chinese alternatives to U.S. tech in the global AI competition.

Still, despite the excitement about DeepSeek, the privately-held company has yet to announce a major upgrade to its R1 and V3 model. Meanwhile, Manus AI, a Chinese startup that emerged earlier this year as another DeepSeek-type upstart, has relocated its headquarters to Singapore.

Over in the U.S., OpenAI also has yet to reveal GPT-5.

Work on GPT-5 may be taking up engineering resources, preventing OpenAI from progressing on its open-source model, Counterpoint’s Sun said, adding that it’s challenging to release a powerful open-source model without undermining the competitive advantage of a proprietary model.

Grok 4 competitor

Kimi K2 is not the company’s only recent release. Moonshot launched a Kimi research model last month and claimed it matched Google’s Gemini Deep Research ‘s 26.9 score and beat OpenAI’s version on a benchmark called “Humanity’s Last Exam.”

The Kimi research model even got a mention last week during Elon Musk’s xAI release of Grok 4 — which scored 25.4 on its own on the “Humanity’s Last Exam” benchmark, but attained a 44.4 score when allowed to use a variety of AI tools and web search.

“Kimi-Researcher represents a paradigm shift in agentic AI,” said Winston Ma, adjunct professor at NYU School of Law. He was referring to AI’s capability of simultaneously making several decisions on its own to complete a complex task.

“Instead of merely generating fluent responses, it demonstrates autonomous reasoning at an expert level — the kind of complex cognitive work previously missing from LLMs,” Ma said. He is also author of “The Digital War: How China’s Tech Power Shapes the Future of AI, Blockchain and Cyberspace.”

— CNBC’s Victoria Yeo contributed to this report.

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Big Tech Enterprise Borrowing Reaches $135 Billion as Hyperscalers Fund AI Infrastructure

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Big Tech Enterprise Borrowing Reaches $135 Billion

Corporate debt markets are undergoing a major structural shift as major technology hyperscalers execute unprecedented debt offerings to finance large-scale artificial intelligence infrastructure. According to institutional market estimates, the annual value of debt issued by top technology firms reached $135 billion in 2026, marking a massive increase from the $35 billion annual average recorded between 2020 and 2024. This wave of corporate borrowing reflects the immense capital required to build next-generation data centers, secure specialized silicon, and build energy infrastructure.

The scale of AI-driven capital expenditures is reshaping corporate finance frameworks. While tech giants historically maintained fortress balance sheets dominated by cash reserves and minimal debt liabilities, the speed of the AI infrastructure deployment race has led corporate treasurers to access debt capital markets. These multi-billion-dollar corporate bond issuances are competing directly with sovereign debt for institutional investment capital.

Credit rating agencies and fixed income analysts are evaluating the long-term balance sheet implications of this corporate borrowing boom. While technology hyperscalers possess substantial revenue streams and strong operating margins, the high interest rate environment means new debt issuances carry higher coupon burdens. Financial analysts are closely tracking return-on-investment (ROI) metrics to ensure capital outlays generate sufficient cash flow to service expanding debt obligations over the coming decade.

Despite elevated borrowing costs, primary market demand for high-grade technology bonds remains robust. Institutional asset managers, pension funds, and insurance firms are absorbing new issuances, attracted by investment-grade credit ratings and attractive yields. However, the concentration of corporate debt issuance within the technology sector highlights growing exposure to enterprise technology spend cycles.

Why This Information Matters
The massive surge in technology sector debt issuance impacts broader credit markets and institutional liquidity. For corporate leaders and investors, understanding how major enterprise tech firms fund infrastructure expansion provides key insights into market interest rate dynamics, corporate credit availability, and the long-term ROI expectations driving modern corporate finance.

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S&P 500 Outperforms Amid Strong Corporate Earnings as Treasury Yields Cap Equity Multiples

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S&P 500 Outperforms Amid Strong Corporate Earnings as Treasury Yields Cap Equity Multiples

Financial markets opened September on a firm footing following a solid performance in August, where the S&P 500 gained 2.6% and the tech-heavy Nasdaq Composite rose 3.9%. Corporate earnings across major index constituents showed impressive momentum, with S&P 500 year-over-year earnings growth topping historic averages. However, despite robust corporate balance sheets, equity market valuations face headwinds as benchmark 10-year Treasury yields remain elevated near 4.75%.

The current financial environment is characterized by a strong divergence between corporate earnings resilience and bond market pressure. Enterprise technology leaders, financial institutions, and consumer sectors reported strong profit margins, benefiting from operational efficiency gains and disciplined cost management. Yet, institutional investors remain cautious about expanding price-to-earnings multiples when risk-free benchmark bond yields offer yields near 4.7%.

Fixed income markets continue to reflect restrictive monetary conditions. The broader aggregate bond market recorded flat total returns year-to-date, while fixed income yields—such as 30-day SEC yields on core bond funds—stayed above 4.6%. This yield profile provides institutional and retail investors with meaningful cash flow returns without taking on equity market downside risk, creating a competitive alternative for institutional capital allocation.

Portfolio managers and investment strategists recommend a disciplined, quality-oriented approach entering the final quarter of 2026. Rather than chasing speculative momentum, capital flows are favoring companies with strong cash flow generation, low debt-to-equity ratios, and robust pricing power capable of withstanding elevated input costs.

Why This Information Matters
The tension between strong corporate earnings and elevated bond yields directly impacts portfolio allocations and retirement wealth. Individual investors and wealth managers must balance equity market participation with fixed-income yield opportunities, ensuring portfolios are diversified against sudden valuation adjustments caused by fluctuating benchmark interest rates.

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Treasury Bond Volatility Forces Bessent to Double Debt Buyback Size as Yields Swing

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Bessent

A turbulent week in the U.S. Treasury market prompted the Treasury Department to sharply increase the size of its long-term debt buyback program, as bond prices fell even while equity markets pushed toward record highs. The divergence has drawn attention from fixed-income strategists who see it as a signal of underlying investor unease about federal borrowing levels.

What Happened This Week

U.S. Treasury Secretary Scott Bessent told CNBC on Thursday, August 20, 2026, that the Treasury had doubled the size of its long-term debt buyback operations, moving from roughly $2 billion to at least $4 billion per operation. Bessent indicated the figure could climb further, saying “we’re going to increase the size of the buyback,” and noted the accelerated pace could exceed the announced $4 billion threshold per issue.

Buybacks allow the Treasury to repurchase outstanding government bonds directly from the market, which can help support prices and dampen yield volatility during periods of stress. The expanded program came as stocks staged a late-week recovery: the S&P 500 and Russell 2000 both advanced on Friday, August 21, even as Treasuries logged mild losses, according to Bloomberg market data.

Why Bond and Equity Markets Are Diverging

Capital.com senior market analyst Daniela Hathorn described the week’s dynamic as markets “ending the week on a softer tone after the relative calm of early August was disrupted by renewed pressure in global bond markets, another rise in oil prices, and growing uncertainty around the Federal Reserve’s next move.” She noted that higher long-term borrowing costs are increasingly challenging elevated equity valuations, even as U.S. equities pull back modestly from record highs.

This divergence — equities near record levels while bonds sell off  is unusual and reflects two different sets of investor concerns. Equity investors have remained focused on corporate earnings strength, particularly from large technology companies ahead of Nvidia’s closely watched August 26 earnings report. Bond investors, by contrast, are more directly exposed to concerns about the scale of federal borrowing, highlighted this week by the national debt crossing the $40 trillion threshold for the first time.

The Fed and Treasury “Working in Opposite Directions”

Wilmington Trust senior bond portfolio manager Wil Stith told Yahoo Finance that current conditions reflect “the Fed and the Treasury basically working in sort of opposite directions,” adding that the imbalance will likely require the Federal Reserve  which he described as having “the larger sandbox”  to adjust the federal funds rate rather than relying on Treasury market interventions alone to manage yields.

Notably, the bond market’s reaction to the Treasury’s buyback expansion was relatively muted; strategists described the move as being largely absorbed without a major rally, suggesting the underlying pressure on yields stems from factors, such as inflation persistence and debt sustainability concerns, that a buyback program alone cannot resolve.

What Comes Next

Markets are now looking to two major events in the days ahead: Nvidia’s earnings report on Wednesday, August 26, and the Federal Reserve’s Jackson Hole Economic Symposium, running August 27-29. This will be the first Jackson Hole gathering under new Fed Chair Kevin Warsh, whose public communication style and policy signals remain less established than his predecessors’, according to market commentary from Regards of Wall Street.

For investors, the key metrics to watch are the size and frequency of future Treasury buyback operations, movements in the 10-year Treasury yield, and any policy signals from Warsh’s keynote address. Continued yield volatility alongside record equity valuations would suggest the market imbalance identified this week has not yet been resolved.

 

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